Construction and Application of a College English Blended Teaching System Based on Multi-Source Data Fusion

Construction and Application of a College English Blended Teaching System Based on Multi-Source Data Fusion

Hongyan Xi, Dongyan Sang
DOI: 10.4018/IJICTE.342083
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Abstract

By using modern data analysis techniques, this study aims to construct an innovative university English teaching effectiveness evaluation model based on particle swarm algorithm and support vector machine. The model is designed to improve assessment accuracy and personalization. The research process includes the methodology of data collection, preprocessing, model construction and evaluation. The experimental results show that the model can more accurately assess students' English learning effectiveness and provide customized suggestions for personalized education. This research is important for improving the quality of university English education, promoting personalized learning, and providing support tools for educational decision makers.
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Introduction

According to Buhalis et al. (2020), the use of e-commerce is increasingly widespread, especially in the field of tourism. A growing number of travel consumers, especially young tourists, are using internet search engines and social network platforms and booking service applications for tourism activities. The presence of e-commerce in the travel industry—in OTAs (online travel agencies), for instance—has been continuously influencing the behavior of the community and the consumer purchasing model. (Cham et al., 2020). Many customers are starting to consider using online booking whenever they need anything related to travel, especially hotel and transportation services (Zahratu & Hurriyati, 2020). It is crucial for OTAs to understand the factors influencing customer satisfaction in order to implement strategies that strengthen customer impact (Dutta et al., 2017).

Additionally, the emergence of OTAs has transformed the way consumers search for and book travel services. As observed, OTAs appeared in the late 1990s and continued to thrive over the subsequent decade, becoming a vital part of the online travel industry. The development of industrial revolution 4.0 has brought many opportunities for online commerce. The outbreak of the COVID-19 pandemic has brought difficulties to the tourism industry. However, OTAs have had the opportunity to develop as Vietnamese consumers have changed traditional shopping habits by ordering services from direct travel agents and tour operators. The presence and growth of OTAs have become more crucial than ever in the context of the post-COVID-19 world, as OTAs play a significant role in connecting tourists with travel services and facilitate their online search, price comparison, and booking.

In Vietnam, the development of OTAs has provided travelers with more options and created a vibrant, competitive environment among travel service providers. According to statistical data from Dutta et al (2017), over 30% of bookings for luxury hotels come from travel companies and tour operators. Second ranking are OTAs, contributing nearly 26%, and their influence is steadily increasing. In this sector, cross-border service providers such as Agoda.com, Booking.com (both under Booking Holdings), Trivago.com, and Hotels.com (under Expedia Group), as well as Airbnb.com, TripAdvisor and Traveloka (Indonesia), are dominating the market. Additionally, according to a survey by Huang & Lan in 2021 targeting individuals aged 16‒64, consumers’ needs when using the internet extend beyond search engines. Other sources, such as word-of-mouth recommendations, comments on social media, and consumer review websites, also play a significant role in meeting their demands.

For the Vietnam market, currently, popular OTA channels are mostly international online channels. However, to reach the market, OTA channels also need to learn the behaviors of customers and the differences among them to be able to build appropriate websites (Huang & Lan, 2021). In addition, one of the challenges for businesses involved in online travel services is retaining customers, or in other words, ensuring customer satisfaction through the quality of the services provided, leading to service purchase behavior and continued use of OTA services. However, up to this point in Vietnam, studies have focused mainly on consumers’ online shopping intentions in the general e-commerce sector. There have been limited studies in the field of tourism, especially research related to online travel services, specifically OTAs in online hotel booking. OTAs are important because they help increase the visibility of hotel brands on websites, thereby enhancing tourist interest and occupancy rates (Ling et al., 2015). According to Sardar et al. (2021), from the consumer’s perspective, booking through OTAs provides benefits related to convenience, financial advantages (such as lower prices), speed, enjoyment, and variety of products/services (Liu & Zhang, 2014). Previous research has predominantly emphasized channel cooperation or channel competition (Yang et al., 2013). Although the subjects examined in previous studies included various channels, these channels were all affiliated with the same business organization.

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